Exploiting Latent Information in Relational Databases via Word Embedding and Application to Degrees of Disclosure
Summary: Textify relations and train word embeddings on database tokens to expose cross-attribute latent semantics (similarity, analogy, induction) to SQL via UDFs. Apply this cognitive DB for policy-driven degrees of disclosure and semantic sharing, noting engine-integration challenges and theoretical limits of embedding coding. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rajesh Bordawekar (IBM)
- 2. Oded Shmueli (Technion)
BibTeX Citation
@inproceedings{bordawekar_cidr19,
address = {Amsterdam, Netherlands},
series = {{CIDR} '19},
title = {{Exploiting Latent Information in Relational Databases via Word Embedding and Application to Degrees of Disclosure}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Bordawekar, Rajesh and Shmueli, Oded},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,348 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010943046 |
| 1,365 | word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data | 2020 | PODS | 0.00010879832 |
| 2,520 | Deep Learning for Blocking in Entity Matching: A Design Space Exploration | 2021 | VLDB | 8.3343971e-05 |
| 9,074 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 5.2114119e-05 |
| 9,653 | SubTab: Data Exploration with Informative Sub-Tables | 2022 | SIGMOD | 5.1310526e-05 |
| 10,209 | Towards Autonomous, Hands-Free Data Exploration | 2020 | CIDR | 5.0491152e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,030 | FREDDY: Fast Word Embeddings in Database Systems | 2018 | SIGMOD | 9.1437256e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,707 | Relational Deep Dive: Error-Aware Queries Over Unstructured Data | 2026 | VLDB |
| 2 | 362 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB |
| 3 | 12,101 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
| 4 | 5,211 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB |
| 5 | 6,490 | Explainable Security for Relational Databases | 2014 | SIGMOD |
| 6 | 614 | Active Databases as a Paradigm for Enhanced Computing Environments | 1983 | VLDB |
| 7 | 2,930 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD |
| 8 | 1,559 | Summarizing Relational Databases | 2009 | VLDB |
| 9 | 4,559 | Databases Unbound: Querying All of the World’s Bytes with AI | 2024 | VLDB |
| 10 | 1,348 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD |